Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness
In this paper, we consider a system that integrates an unmanned aerial vehicle (UAV) for sensing and communication. The UAV is responsible for communication with multiple users and sensing targets for multiple users. Our objective is to minimize the age of information (AoI) of the sensory data by jo...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10706870/ |
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| author | Yuting He Qingjie Wu Miao Cui Yuan Peng Guangchi Zhang Wei Chen |
| author_facet | Yuting He Qingjie Wu Miao Cui Yuan Peng Guangchi Zhang Wei Chen |
| author_sort | Yuting He |
| collection | DOAJ |
| description | In this paper, we consider a system that integrates an unmanned aerial vehicle (UAV) for sensing and communication. The UAV is responsible for communication with multiple users and sensing targets for multiple users. Our objective is to minimize the age of information (AoI) of the sensory data by jointly optimizing the scheduling, transmit beamforming, trajectory, and transmit power of the UAV, while considering the communication quality constraints and physical constraints. To solve the optimization problem in a low-complexity manner, we first derive a closed-form solution for the transmit beamforming. Then, we decompose the remaining problem into two subproblems: one focuses on maximizing the total amount of the target sensing time, while the other aims to minimize the total amount of the sensing task completion time. For the former subproblem, we propose a low-complexity chain-based algorithm. For the latter subproblem, we utilize the Lagrange dual method and successive convex approximation technique. Simulation results show that our proposed algorithm can achieve a smaller average AoI with a low complexity compared to benchmark schemes. |
| format | Article |
| id | doaj-art-377b13b7690c41c3b904a21d06014015 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-377b13b7690c41c3b904a21d060140152024-12-25T00:00:32ZengIEEEIEEE Access2169-35362024-01-011214882614884410.1109/ACCESS.2024.347563010706870Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information FreshnessYuting He0https://orcid.org/0009-0007-7609-3580Qingjie Wu1https://orcid.org/0009-0008-5105-5155Miao Cui2https://orcid.org/0000-0002-5947-7036Yuan Peng3Guangchi Zhang4https://orcid.org/0000-0001-8292-401XWei Chen5School of Information Engineering, Guangdong University of Technology, Guangzhou, ChinaSchool of Microelectronics, South China University of Technology, Guangzhou, ChinaSchool of Information Engineering, Guangdong University of Technology, Guangzhou, ChinaSchool of Foreign Languages, Guangdong University of Technology, Guangzhou, ChinaSchool of Information Engineering, Guangdong University of Technology, Guangzhou, ChinaInstitute of Environmental Geology Exploration of Guangdong Province, Guangzhou, ChinaIn this paper, we consider a system that integrates an unmanned aerial vehicle (UAV) for sensing and communication. The UAV is responsible for communication with multiple users and sensing targets for multiple users. Our objective is to minimize the age of information (AoI) of the sensory data by jointly optimizing the scheduling, transmit beamforming, trajectory, and transmit power of the UAV, while considering the communication quality constraints and physical constraints. To solve the optimization problem in a low-complexity manner, we first derive a closed-form solution for the transmit beamforming. Then, we decompose the remaining problem into two subproblems: one focuses on maximizing the total amount of the target sensing time, while the other aims to minimize the total amount of the sensing task completion time. For the former subproblem, we propose a low-complexity chain-based algorithm. For the latter subproblem, we utilize the Lagrange dual method and successive convex approximation technique. Simulation results show that our proposed algorithm can achieve a smaller average AoI with a low complexity compared to benchmark schemes.https://ieeexplore.ieee.org/document/10706870/Integrated sensing and communicationunmanned aerial vehicleage of information |
| spellingShingle | Yuting He Qingjie Wu Miao Cui Yuan Peng Guangchi Zhang Wei Chen Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness IEEE Access Integrated sensing and communication unmanned aerial vehicle age of information |
| title | Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness |
| title_full | Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness |
| title_fullStr | Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness |
| title_full_unstemmed | Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness |
| title_short | Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness |
| title_sort | joint beamforming scheduling trajectory and transmit power optimization in uav assisted isac systems for information freshness |
| topic | Integrated sensing and communication unmanned aerial vehicle age of information |
| url | https://ieeexplore.ieee.org/document/10706870/ |
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